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20182023
most citedMachine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

474 citations · 869 across the 13 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2023★ 2 cited

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems

Sepideh Bahadoripour, Ethan MacDonald, Hadis Karimipour

The growing number of cyber-attacks against Industrial Control Systems (ICS) in recent years has elevated security concerns due to the potential catastrophic impact. Considering th…

cs.CR2022★ 201 cited

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi +3

Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-base…

cs.CR2022★ 9 cited

Communication Layer Security in Smart Farming: A Survey on Wireless Technologies

Hossein Mohammadi Rouzbahani, Hadis Karimipour, Evan Fraser +4

Human population growth has driven rising demand for food that has, in turn, imposed huge impacts on the environment. In an effort to reconcile our need to produce more sustenance…

cs.CR2021★ 4 cited

Cybersecurity in Smart Farming: Canada Market Research

Ali Dehghantanha, Hadis Karimipour, Amin Azmoodeh

The Cyber Science Lab (CSL) and Smart Cyber-Physical System (SCPS) Lab at the University of Guelph conduct a market study of cybersecurity technology adoption and requirements for…

cs.CR2020★ 142 cited

Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey

Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha +2

The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One of the critical issues in the…

cs.CR2020★ 474 cited

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos

Over the last decade, IoT platforms have been developed into a global giant that grabs every aspect of our daily lives by advancing human life with its unaccountable smart services…

cs.CR2019

Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection

Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha

False Data Injection (FDI) attacks are a common form of Cyber-attack targetting smart grids. Detection of stealthy FDI attacks is impossible by the current bad data detection syste…